Engagement Manager (Data Science)
EXL (company site, opens in a new tab)12+ yrsGurugramHybridDirect career pageEst. 40–60 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Provide technical direction across data science projects including data modeling, predictive modeling, reporting, and automation throughout the insurance value chain.
- Lead client working sessions and project status meetings, managing day-to-day project operations to meet client expectations.
- Serve as functional and domain expert for projects, ensuring delivery quality and client satisfaction, with responsibility over analytics teams including career management and training.
Minimum Requirements
- 12+ years of core analytics experience in Data Science, Gen-AI, Large Language Models, ML-AI Model Development, and Data Engineering with consulting/implementation experience, preferably in Life Insurance.
- Bachelor’s or master’s degree (or equivalent) in economics, mathematics, computer science/engineering, operations research, or related analytics field from a top-tier institution.
- Technical expertise in Python, SQL, Tableau, Power BI, cloud data storage (Snowflake/S3/ADLS Gen2), MLOps tools (MLflow, Airflow, Docker, Kubernetes), and working knowledge of cloud platforms (AWS/Azure/GCP).
- Experience managing dual shore engagements and direct client management.
Ideal Candidate Profile
- Experienced leader capable of managing and mentoring offshore analytics teams in a fast-paced, evolving consulting environment.
- Strong domain expertise in insurance analytics, specifically life insurance, with demonstrated ability to handle cross-cultural client interactions globally.
- Proven technical and managerial skills combining advanced data science, cloud technology, and MLOps, with a hands-on approach and entrepreneurial mindset.